How AI and machine learning is reshaping drug discovery in Novo Nordisk

Join us for a talk by Jesper Ferkinghoff-Borg, Associate Professor and Research Director at Novo Nordisk A/S. 

Abstract: Traditional drug discovery in Pharma is a slow, tedious, and irregular process and successful novel products have a typical timespan of 10-15 years from ideation to first human dose. The reason is the multitude of time- and length-scales involved in drug discovery, from molecular interactions at atomic scales, the pharmacodynamic response mechanisms at the level of the individual cells, tissue and organ to the genetic and environmental factors defining the patient landscape. In recent years, Pharma has witnessed a methodological transformation to drug discovery brought by the combination of high-throughput data generation and integration with contemporary machine learning and AI technologies. In the talk I will focus on how we utilize large language models, computer vision models, knowledge graphs, bayesian optimization & active learning  to accelerate the process of identifying new targets, designing the drugs for these and to increase probability of success towards the first human dose. 

After the talk there will be time for questions as well as informal chat over light refreshments. 

Everyone is welcome to join!